Simplification of data extraction and measurements from tilted FBG surface plasmon resonance sensors
Bibliographic record
Abstract
It is shown here that measurements of a tilted fiber Bragg grating with a single-sided gold coating using an unpolarized light source and no polarization control in the interrogation path can be used instead, thereby considerably facilitating both the fabrication of the grating sensor and simplifying the interrogation system requirements. A 10 degree tilt, 1 cm-long grating with Bragg wavelength near 1610 nm and a single-sided deposition of a 50 nm gold layer results in well-separated TE-HE and TM-EH mode groups with minimum and maximum sensitivity to surrounding refractive index changes, respectively. In these conditions, a well-defined SPR resonance is observed in the transmission spectrum as well as the position of the cladding mode cutoff. The differential sensitivities of mode group resonances in spectrum slice provide clear signatures of surrounding index change, both from surface effects on the gold layer and from cutoff wavelength shifts, thereby providing multi-resonant data and more accurate sensing results.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".